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RecruitingNCT04682886Updated Dec 24, 2020

Radiomics Analysis of Focal Liver Lesions Based on Contrast-Enhanced Ultrasound Imaging

An observational study in Focal Liver Lesions and Contrast-enhanced Ultrasound, sponsored by Ping Liang. Recruiting at 1 site in China. Per ClinicalTrials.gov, last updated 2020-12-24.

Sponsored by Ping Liang · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2024, 1 year 9 months ago, but the record still lists the study as recruiting.
  • Started Jan 2017; still recruiting 9 years 9 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
5,000
Sex
All
01

Study summary

Contrast-enhanced ultrasound (CEUS) substantially improves the potential of ultrasound (US) for the identification and characterization of focal liver lesions (FLLs). Compared to contrasted-enhanced MRI and CT, it has some unique advantages, such as the absence of ionizing radiation, and easy operability and repeatability. However, the efficacy of CEUS in diagnosing liver lesions is challenged by several factors including being highly dependent on doctor's experience, low signal-to-noise ratio, and low interobserver agreement. Therefore, it is a beneficial attempt to construct an intelligent CEUS diagnosis system using digital information technology. This study aims to collect standard data of CEUS cines recordings and develop deep learning model for accurate segmentation, detection and classification of liver lesions.

02

Conditions studied

  • Focal Liver Lesions
  • Contrast-enhanced Ultrasound
03

In context

Lead sponsor

Ping Liang is the lead sponsor of 3 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

patients with focal liver lesions

Inclusion criteria

  1. patients with a solid liver tumor visible during routine ultrasound and received CEUS.
  2. disease history and standard of reference of the lesions can be acquired

Exclusion criteria

Exclusion Criteria:

  1. hypersensitivity for ultrasound contrast media
  2. pregnant or lactating patients
  3. previously treated lesions or local relapse from previously treated lesions
  4. diffuse tumors
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
5,000 participants (estimated)
Patient registry
No

Interventions

  • Diagnostic testdiagnosis

    there is no intervention diagnosis or treatment for patients

06

What researchers measure

Primary outcomes

  1. AUC value

    Area under the receiver operating characteristic (ROC) curve (AUC)

    Time frame: through study completion, an average of 7 year

  2. specificity

    diagnosis specificity of intelligent CEUS analysis

    Time frame: through study completion, an average of 7 year

  3. sensitivity

    diagnosis sensitivity of intelligent ultrasound analysis

    Time frame: through study completion, an average of 3 year

07

Study locations

1 of 1 sites recruiting
  • Chinese PLA General Hospital
    Beijing, Beijing 100853, China
    Recruiting
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 24, 2020, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04682886
Lead sponsor
Ping Liang
Responsible party
Ping Liang (Prof, Chinese PLA General Hospital) — Sponsor-investigator
First posted
Dec 24, 2020
Start date
Jan 1, 2017
Primary completion
Dec 31, 2024 (estimated)
Completion
Dec 31, 2025 (estimated)
Last update
Dec 24, 2020

Study contacts

Jie Yu, Dr
Contact
jiemi301@163.com
15901417963

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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